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Title: Human group behaviour in cities : an analysis using smart card data
Author: Zhang, Yongping
Awarding Body: UCL (University College London)
Current Institution: University College London (University of London)
Date of Award: 2020
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Human group behaviour is distinctly different from individual behaviour, mainly because persons performing group behaviour are socially tied and require necessary spatiotemporal proximity. However, most existing studies assume persons travel or conduct activities independently and this limits our understanding of human group behaviour. The thesis provides a comprehensive analysis of human group behaviour using three cities, Shanghai (China), London (the UK) and Changsha (China), as case studies, based on various methods (e.g., the proposed spatiotemporal co-existence based framework), and with various data sources (e.g., smart card data). Analytical results show that human group behaviour varies greatly in time and space, and shows different characteristics for different populations and in different urban contexts. For metro users in Shanghai, they are more likely to conduct group behaviour during weekends and on holidays, and in the afternoons and evenings. They are also more likely to perform group behaviour near stations located in the city centre of Shanghai or the sub-centres in suburban areas, and be close to attractions, commercial streets and public facilities. For international postgraduates in London and undergraduates in Changsha, they generally show different temporal patterns, namely, they are more likely to conduct group behaviour during commuting or eating peak times, and are less likely to conduct group behaviour during weekends. The proposed comprehensive indicator and the data mining based approaches have the potential to infer group members from spatiotemporal co-existences. The analysis helps us better understand group behaviour in cities. It further has many potential applications, such as supporting the design and implementation of group ticket policy, the study of social networks and public events, and the public space design.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available